Product Images Venlafaxine Hydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Venlafaxine Hydrochloride NDC 51655-849 by Northwind Pharmaceuticals, Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Label - 51655 849 26 Rev A 02 23

Label - 51655 849 26   Rev A 02 23

This is a prescription medication named Venlafaxine hydrochloride extended-release capsules used to treat depression and anxiety disorders. Each capsule contains 75mg of venlafaxine. The dosage information is available in the package insert of the drug. It should be stored at a controlled room temperature of 20° - 25°C (68° - 77°F) and kept away from the reach of children. It is manufactured by Aurobindo Phama USA, Inc. and is repackaged by Northwind Pharmaceuticals. The expiration date of the medication is not available.*

figure - venlafaxine fig1

figure - venlafaxine fig1

This appears to be a table of information related to different populations and their possible impact on the analyte velatarie. The table identifies special populations such as those with hepatic or renal impairment, CYP206 polymorphism, age, and gender. It also lists the analyte velatarie, with corresponding fold change and 90% confidence interval values.*

figure - venlafaxine fig2

figure - venlafaxine fig2

figure - venlafaxine fig3

figure - venlafaxine fig3

This appears to be a list of various drugs and their interactions with each other along with some quantitative data such as Cmax and fold change. There are also some analytes listed. It is unclear what the purpose of this information was or what the reference value is that is mentioned at the end.*

Chemical Structure - venlafaxine str

Chemical Structure - venlafaxine str

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.